GHSA-MG66-QVC5-RM93 Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

Impact The implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf indices = tf.constant53, shape=3, dtype=tf.int64 values =...

GHSA-H5G4-PPWX-48Q2 Missing validation causes denial of service via `DeleteSessionTensor`

Impact The implementation of tf.rawops.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf handle = tf.constant"", shape=0, dtype=tf.string...

GHSA-2P9Q-H29J-3F5V Missing validation causes `TensorSummaryV2` to crash

Impact The implementation of tf.rawops.TensorSummaryV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import numpy as np import tensorflow as tf tf.rawops.TensorSummaryV2 tag=np.array'test',...

CVE-2022-29210

TensorFlow is an open source platform for machine learning. In version 2.8.0, the TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through...

CVE-2022-29206

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments. In this case, a reference gets bound to a nullptr during kernel execution. This is...

CVE-2022-29198

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service...

CVE-2022-29194

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack...

CVE-2022-29191

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack...

Google TensorFlow代码问题漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to a code issue in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which stems from tf.rawops. SparseTensorDenseAdd has incomplete validation for the input parameters. No detailed...

PT-2022-19443 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description: The implementation of tf.raw ops.GetSessionTensor does not fully validate the input...

PT-2022-19463 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow version 2.8.0 Description: The issue arises from the TensorKey hash function using total estimated AllocatedBytes, which is an estimate per tensor and a poor hash function for constants, such as int32 t. It also attempts to access...

GHSA-GV26-JPJ9-C8GQ Incomplete validation in `SparseSparseMinimum`

Impact Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data: python import tensorflow as tf aindices = tf.ones45, 92, dtype=tf.int64 avalues = tf.ones45, dtype=tf.int64...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. Building invalid/overflowing tensor shapes leads to CHECK-fails, causing an application crash...

Integer overflow in Tensorflow

Impact The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements: cc int64t OpLevelCostEstimator::CalculateTensorSize const OpInfo::TensorProperties&...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +170 more potentially affected by CVE-2022-21739 via tensorflow-gpu (>=1.10.1 <=2.5.1)

tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.9.2, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 - cctv-analysis =0.0.2 and more Source cves: CVE-2022-21739 Source advisory: OSV:GHSA-3MW4-6RJ6-74G5...

GHSA-PFJJ-M3JJ-9JC9 Undefined behavior in `SparseTensorSliceDataset`

Impact The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value: python import tensorflow as tf import numpy as np tf.rawops.SparseTensorSliceDataset indices=, values=, denseshape=1,1 The 3 input arguments...

GHSA-RRX2-R989-2C43 Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...

GHSA-6445-FM66-FVQ2 Integer overflows in Tensorflow

Impact The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service: python import tensorflow as tf import numpy as np tf.rawops.AddManySparseToTensorsMap...

lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-23568 via tensorflow-cpu (=2.7.0)

tensorflow-cpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 =1.0.0 Source cves: CVE-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

GHSA-WCV5-VRVR-3RX2 Integer Overflow or Wraparound in TensorFlow

Impact The Grappler component of TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure in constant folding: cc for const auto& outputprop : outputprops const PartialTensorShape outputshapeoutputprop.shape; // ... The outputprop tensor has a shape that is controlled b...